{"id":"W2137749102","doi":"10.1139/x10-223","title":"Comparing individual tree detection and the area-based statistical approach for the retrieval of forest stand characteristics using airborne laser scanning in Scots pine stands","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Basal area; Scots pine; Tree (set theory); Statistics; Laser scanning; Forest inventory; Mathematics; Forestry; Remote sensing; Environmental science; Forest management; Pinus <genus>; Geography; Laser","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004697171,0.0004957611,0.0004917732,0.002885696,0.0002803227,0.0008153831,0.0006163624,0.0004227325,0.0003105125],"category_scores_gemma":[0.006835547,0.0003279127,0.0005016743,0.00124155,0.000380989,0.001088382,0.0006196408,0.0002761129,0.0001755779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005931293,"about_ca_system_score_gemma":0.0006735057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009253856,"about_ca_topic_score_gemma":0.02158388,"domain_scores_codex":[0.9986024,0.00040336,0.00009722071,0.0002991175,0.0005333424,0.00006454228],"domain_scores_gemma":[0.9943503,0.003576274,0.0004474232,0.0003381108,0.001112025,0.0001758982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00135815,0.0004644695,0.4461462,0.0003426652,0.0007925158,0.0001419671,0.0005784979,0.08234276,0.04427924,0.001397895,0.0005079318,0.4216477],"study_design_scores_gemma":[0.0001030765,0.001064701,0.3386637,0.00004015191,0.0002224294,0.00047077,0.0004535075,0.645716,0.01094905,0.001258996,0.000906596,0.000150974],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9526477,0.0004078221,0.04545528,0.00003785025,0.00002499471,0.00004819029,0.0002299809,0.0002093303,0.00093879],"genre_scores_gemma":[0.9540772,0.0001342386,0.04513872,0.00002235006,0.0000165646,0.00004885335,0.0003106903,0.00002091155,0.0002305332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009253856,"threshold_uncertainty_score":0.02484131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.108205117751256,"score_gpt":0.301927329533623,"score_spread":0.193722211782367,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}